Mutual Inference Model For User Roles And Urban Functional Zones

Users engage in various activities in different regions of the city, how to infer their roles through the area of the user's activity, and how to infer the possible geographical structure of the user's role through the user's role, it is the case of the challenging issues in the user's mobility field. The necessary context elements are extracted from the user's microblogging, such as user ID, checkins and GPS coordinates, the mutual inference model of the user's role and the urban functional zones is established for the user's movement law. The experimental results show that the model has achieved good performance in terms of using the user role to infer the urban geographical structure, or in the use of the urban functional zones to infer the user roles.